Hi:
An alternative is the following:
# This regenerates your dataset:
xx <- list(matrix(1:9, nrow = 3, byrow = TRUE),
matrix(10:18, nrow = 3, byrow = TRUE),
matrix(19:27, nrow = 3, byrow = TRUE))
# Flatten matrix elements of each component into vectors:
xxf <- lapply(xx, function(x) {y <- t(x); dim(y) <- NULL; y})
# rbind them into a matrix:
do.call(rbind, xxf)
# If you prefer the result as a long vector, then
as.vector(do.call(rbind, xxf))
Results:
> do.call(rbind, xxf)
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 1 2 3 4 5 6 7 8 9
[2,] 10 11 12 13 14 15 16 17 18
[3,] 19 20 21 22 23 24 25 26 27
> as.vector(do.call(rbind, xxf))
[1] 1 10 19 2 11 20 3 12 21 4 13 22 5 14 23 6 15 24 7 16 25 8 17
26 9
[26] 18 27
HTH,
Dennis
On Wed, Dec 30, 2009 at 5:45 AM, Muhammad Rahiz <
muhammad.ra...@ouce.ox.ac.uk> wrote:
> Hi all,
>
> Given the following,
>
> > xx
> [[1]]
> V1 V2 V3
> [1,] 1 2 3
> [2,] 4 5 6
> [3,] 7 8 9
> [[2]]
> V1 V2 V3
> [1,]10 11 12
> [2,]13 14 15
> [3,]16 17 18
>
> [[3]]
> V1 V2 V3
> [1,]19 20 21
> [2,]22 23 24
> [3,]25 26 27
>
> how do i extract elements in each file so that after transpose, it looks
> something like the following;
>
> 1
> 10
> 19
>
> 2
> 11
> 20
>
> 3
> 12
> 21
>
> and so on..
>
> Thanks..
>
>
>
> --
> Muhammad Rahiz | Doctoral Student in Regional Climate Modeling
>
> Climate Research Laboratory, School of Geography & the Environment
> Oxford University Centre for the Environment
> South Parks Road, Oxford, OX1 3QY, United Kingdom Tel: +44 (0)1865-285194
> Mobile: +44 (0)7854-625974
> Email: muhammad.ra...@ouce.ox.ac.uk
>
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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